We welcome creative, independent researchers interested in neurotechnology and the connections between engineering, biology, and medicine.
Machine learning and AI, physiological signal processing, electrical and biomedical engineering, neuroscience, medical devices, materials science, and molecular biology.
Opportunities may include part-time research volunteering, ECE 199 credit, and summer research. A GPA above 3.5 is typical; prior research experience and publications are strongly considered.
Our research spans wearable technology, neural engineering, EEG, EGG, ENG and MEG signal processing, and AI methods for physiological and electronic health record data. Contact the lab about current MS, PhD, and postdoctoral opportunities and available funding.
Relevant preparation includes electrical engineering, bioengineering, or a related field; signal processing and machine learning; MATLAB and Python; clear scientific communication; and the ability to work independently and collaboratively.
Email ilerman@health.ucsd.edu with your CV as a PDF, a concise statement of research interests and fit, and academic transcripts. Include your degree program, availability, relevant projects, and any secured funding. Applicants with their own funding receive top consideration.
Research activities include original investigations, multidisciplinary collaboration, conference presentations, publications, and mentoring. Due to the volume of inquiries, we may not be able to respond to every message.